{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# numpy数组创建习题"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [Numpy数组创建: 1. 按要求补全代码，创建一个全0一个全1的数组](https://www.wolai.com/jt9vUU4FMSXHp9h4NdmRm7#9uKxU7GBRL7PWSt6QiQxBp) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x0 shape:(2,5)\n",
      "x0 content:\n",
      " [[0 0 0 0 0]\n",
      " [0 0 0 0 0]]\n",
      "x1 shape:(5,2)\n",
      "x1 content:\n",
      " [[1 1]\n",
      " [1 1]\n",
      " [1 1]\n",
      " [1 1]\n",
      " [1 1]]\n"
     ]
    }
   ],
   "source": [
    "# 引入numpy数组\n",
    "# TODO\n",
    "import numpy as np\n",
    "# 构建 2行 5列 整型 numpy 全1数组 x0\n",
    "# TODO\n",
    "x0 = np.zeros((2,5),dtype=int)\n",
    "# 构建 5行 2列 整型 numpy 全0数组 x1\n",
    "# TODO\n",
    "x1 = np.ones((5,2),dtype=int)\n",
    "# 构建结果多行字符串\n",
    "# 针对x0,x1打印其结构和完整内容\n",
    "# TODO\n",
    "print(\"x0 shape:(2,5)\")\n",
    "print(\"x0 content:\\n\",x0)\n",
    "print(\"x1 shape:(5,2)\")\n",
    "print(\"x1 content:\\n\",x1)\n",
    "# 打印字符串内容\n",
    "# TODO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [Numpy数组创建: 2. 构建对角线矩阵并绘制出其对应的图像](https://www.wolai.com/jt9vUU4FMSXHp9h4NdmRm7#3oRvXdVsrXPkTGvRAiYcFs) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EAGQVW/wgE3RCAAA3hBAAwA0hBABww5oQgAnFGhFuhE4IAOCGEAIAuCGEAABuWBMCcEfxGghci04IAOCGEAIAuOF2HABXvAaisNEJAQDcEEIAADeEEADADWtCAHIGW/wUHjohAIAbQggA4IYQAgC4YU0IQM5ii5/Jj04IAOCGEAIAuOF2HIC8wRY/kw+dEADADSEEAHBDCAEA3LAmBCAvscXP5EAnBABwQwgBANwQQgAAN6wJAZgU2OInP9EJAQDcEEIAADfcjgMwKbHFT36gEwIAuCGEAABuCCEAgBvWhABMemzxk7vohAAAbgghAIAbQggA4IY1IQAFhzWi3EEnBABwQwgBANwQQgAAN6wJASh4vAbCD50QAMANIQQAcMPtOAAYgddA3Dl0QgAAN4QQAMBNRiF0+fJlvfbaa6qqqlJJSYmqq6u1bds2pVKp8Boz09atW1VZWamSkhItXbpUvb29WR84AGASsAy8/vrrNmPGDHv//fetr6/P3nnnHbvnnnvsjTfeCK9pa2uz0tJSe/fdd62np8dWrFhhFRUVlkwmx/U9giAwSRRFUTlZI3mPJ5crCIKb/szPKISWL19uL7zwQtqxp59+2lauXGlmZqlUyuLxuLW1tYXnh4aGLBaL2b59+8b8zKGhIQuCIKxEIuE+cRRFUdcrQmj8NZ4Qyuh23OLFi/XBBx/o7NmzkqTPPvtMx48f15NPPilJ6uvrU39/vxobG8OviUajamhoUFdX15if2draqlgsFtacOXMyGRIAII9l9Ij2xo0bFQSBampqNHXqVF25ckXbt29XU1OTJKm/v1+SVF5envZ15eXlOnfu3JifuXnzZq1fvz7892QySRABQIHIKISOHDmiQ4cO6e2339aDDz6o7u5utbS0qLKyUqtXrw6vG2sLjOs9Wx+NRhWNRm9h6ABw57HFT3ZlFEKvvPKKNm3apGeffVaS9NBDD+ncuXNqbW3V6tWrFY/HJV3tiCoqKsKvGxgYGNUdAQCQ0ZrQxYsXNWVK+pdMnTo1fES7qqpK8XhcHR0d4fnh4WF1dnaqvr4+C8MFAEwq4382zmz16tV23333hY9ot7e328yZM23Dhg3hNW1tbRaLxay9vd16enqsqamJR7QpiiqIGsl7PN6V9Ue0k8mkNTc329y5c624uNiqq6vt1VdftUuXLoXXpFIp27Jli8XjcYtGo7ZkyRLr6ekZ9/cghCiKytca9QM2B8bkWeMJoch3E5UzksmkYrGY9zAAIGMjf5wW+oMKQRCorKzshtewdxwAwA2vcgCALLnR49tjnQedEADAESEEAHBDCAEA3LAmBAAThC1+bo5OCADghhACALjhdhwA3CHX3oLj8e2r6IQAAG4IIQCAG0IIAOCGNSEAcMAWP1fRCQEA3BBCAAA3hBAAwA1rQgCQAwp1jYhOCADghhACALghhAAAblgTAoAcVCivgaATAgC4IYQAAG64HQcAeWCyvgaCTggA4IYQAgC4IYQAAG5YEwKAPDOZtvihEwIAuCGEAABuCCEAgBvWhAAgz+XzFj90QgAAN4QQAMANt+MAYJLJpy1+6IQAAG4IIQCAG0IIAOCGNSEAmMRyfYsfOiEAgBtCCADghhACALhhTQgACkiubfFDJwQAcEMIAQDccDsOAAqY9xY/dEIAADeEEADADSEEAHDDmhAAQJLPFj90QgAAN4QQAMANIQQAcMOaEABgTHdijYhOCADghhACALghhAAAblgTAgCMy0S8BoJOCADghhACALghhAAAtyQSiYRlZmEFQTDuzyCEAABuCCEAgJucezpu5G/kAgByXzKZHPXP4/l5nnMhNDg46D0EAECGYrHYqGODg4NjHr9WxHKs9UilUvr6669lZpo7d64SiYTKysq8h5Wzksmk5syZwzzdBPM0PszT+DBPN2ZmGhwcVGVlpaZMufGqT851QlOmTNHs2bPDdq6srIw/5HFgnsaHeRof5ml8mKfru1kH9D0eTAAAuCGEAABucjaEotGotmzZomg06j2UnMY8jQ/zND7M0/gwT9mTcw8mAAAKR852QgCAyY8QAgC4IYQAAG4IIQCAG0IIAOAmZ0Noz549qqqqUnFxsRYuXKhPPvnEe0huWltb9eijj6q0tFSzZs3SU089pTNnzqRdY2baunWrKisrVVJSoqVLl6q3t9dpxLmhtbVVkUhELS0t4THm6aqvvvpKK1eu1IwZMzRt2jQ98sgjOnXqVHieeZIuX76s1157TVVVVSopKVF1dbW2bdumVCoVXsM8ZYHloMOHD9tdd91lBw4csNOnT1tzc7NNnz7dzp075z00Fz/96U/t4MGD9ve//926u7tt+fLlNnfuXPvPf/4TXtPW1malpaX27rvvWk9Pj61YscIqKiosmUw6jtzPiRMn7Ic//KE9/PDD1tzcHB5nnsz+/e9/27x58+wXv/iF/e1vf7O+vj77y1/+Yv/4xz/Ca5gns9dff91mzJhh77//vvX19dk777xj99xzj73xxhvhNczT7cvJEHrsscdszZo1acdqamps06ZNTiPKLQMDAybJOjs7zcwslUpZPB63tra28JqhoSGLxWK2b98+r2G6GRwctPnz51tHR4c1NDSEIcQ8XbVx40ZbvHjxdc8zT1ctX77cXnjhhbRjTz/9tK1cudLMmKdsybnbccPDwzp16pQaGxvTjjc2Nqqrq8tpVLnl+1fn3nvvvZKkvr4+9ff3p81ZNBpVQ0NDQc7Z2rVrtXz5cj3xxBNpx5mnq44ePaq6ujo988wzmjVrlhYsWKADBw6E55mnqxYvXqwPPvhAZ8+elSR99tlnOn78uJ588klJzFO25Nwu2t98842uXLmi8vLytOPl5eXq7+93GlXuMDOtX79eixcvVm1trSSF8zLWnJ07d+6Oj9HT4cOH9emnn+rkyZOjzjFPV3355Zfau3ev1q9fr1//+tc6ceKEXn75ZUWjUa1atYp5+s7GjRsVBIFqamo0depUXblyRdu3b1dTU5Mk/j5lS86F0PcikUjav5vZqGOFaN26dfr88891/PjxUecKfc4SiYSam5t17NgxFRcXX/e6Qp+nVCqluro67dixQ5K0YMEC9fb2au/evVq1alV4XaHP05EjR3To0CG9/fbbevDBB9Xd3a2WlhZVVlZq9erV4XWFPk+3K+dux82cOVNTp04d1fUMDAyM+j+OQvPSSy/p6NGj+uijjzR79uzweDwel6SCn7NTp05pYGBACxcuVFFRkYqKitTZ2ak333xTRUVF4VwU+jxVVFTogQceSDt2//336/z585L4+/S9V155RZs2bdKzzz6rhx56SM8//7x+9atfqbW1VRLzlC05F0J33323Fi5cqI6OjrTjHR0dqq+vdxqVLzPTunXr1N7erg8//FBVVVVp56uqqhSPx9PmbHh4WJ2dnQU1Z48//rh6enrU3d0dVl1dnZ577jl1d3erurqaeZK0aNGiUY/4nz17VvPmzZPE36fvXbx4cdRbQadOnRo+os08ZYnjQxHX9f0j2r///e/t9OnT1tLSYtOnT7d//vOf3kNz8eKLL1osFrOPP/7YLly4ENbFixfDa9ra2iwWi1l7e7v19PRYU1MTj4qapT0dZ8Y8mV19fL2oqMi2b99uX3zxhb311ls2bdo0O3ToUHgN82S2evVqu++++8JHtNvb223mzJm2YcOG8Brm6fblZAiZmf32t7+1efPm2d13320/+tGPwseRC5GkMevgwYPhNalUyrZs2WLxeNyi0agtWbLEenp6/AadI0aGEPN01XvvvWe1tbUWjUatpqbG9u/fn3aeeTJLJpPW3Nxsc+fOteLiYquurrZXX33VLl26FF7DPN0+3icEAHCTc2tCAIDCQQgBANwQQgAAN4QQAMANIQQAcEMIAQDcEEIAADeEEADADSEEAHBDCAEA3BBCAAA3/we3MQKieRkwpQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 引入合适的模块\n",
    "# TODO\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "# 构建一个 100*100 的对角线为1其余为0的numpy数组\n",
    "# TODO\n",
    "x0 = np.eye(100,dtype=int)\n",
    "# 用plt绘制x对应的图像, 色彩模式为: 灰白，并显示出来\n",
    "# TODO\n",
    "plt.imshow(x0,cmap='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [Numpy数组创建: 3. 绘制等差数列对应图像](https://www.wolai.com/jt9vUU4FMSXHp9h4NdmRm7#q8mJrLJQ8Qs9obuB4EpctU) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  0   5  10  15  20  25  30  35  40  45  50  55  60  65  70  75  80  85\n",
      "  90  95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175\n",
      " 180 185 190 195 200 205 210 215 220 225 230 235 240 245 250 255]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 引入合适的模块\n",
    "# TODO\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "# 生成等差数列numpy数组，0≤范围≤255，步长: 5\n",
    "# 打印数组内容\n",
    "# TODO\n",
    "x0 = np.arange(0,256,5)\n",
    "print(x0)\n",
    "# 用plt绘制x对应的图像\n",
    "# 注意: x 为一维列表无法显示成图像,所以要把x转化为一个二维列表: [x]即可\n",
    "# TODO\n",
    "plt.imshow([x0],cmap='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [Numpy数组创建: 4. 绘制两种随机量对应的折线图](https://www.wolai.com/jt9vUU4FMSXHp9h4NdmRm7#sbEzwddvqqELZExFom79p2) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 引入合适的模块\n",
    "# TODO\n",
    "import numpy as np\n",
    "# 生成[0,50]范围内100个数字\n",
    "# TODO\n",
    "x0 = np.random.randint(0,51,size=100)\n",
    "# 生成100个标准正态分布的随机数数组\n",
    "# TODO\n",
    "x1 = np.random.randn(100)\n",
    "# 生成100个[0, 1)区间内的均匀分布的随机数\n",
    "# TODO\n",
    "x2=np.random.randn(100)\n",
    "# 把两个随机数叠加绘制出来\n",
    "# TODO\n",
    "plt.plot(x1,label='sin(x0)')\n",
    "plt.plot(x2,label='cos(x0)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [Numpy数组创建: 5. 绘制随机噪点图](https://www.wolai.com/jt9vUU4FMSXHp9h4NdmRm7#biU9r2mwmG77qYsHs1MUeE) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 引入合适的模块\n",
    "# TODO\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "# 绘制100*100的随机整数numpy数组\n",
    "# 每一个整数的范围是: [0,255]\n",
    "# TODO\n",
    "x0 = np.random.randint(0,256,size=(100,100))\n",
    "plt.imshow(x0,cmap='gray')\n",
    "plt.axis('off')\n",
    "# 显示出来\n",
    "# TODO\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [Numpy数组创建: 6. 给局部狗图添加噪音](https://www.wolai.com/jt9vUU4FMSXHp9h4NdmRm7#gQZCXSkJ2SkxYtC8zuEeom) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 引入合适的模块\n",
    "# TODO\n",
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "# 用opencv读取 dog.jpg 的灰度图形式\n",
    "# TODO\n",
    "img = cv2.imread(\"dog.jpg\",cv2.IMREAD_GRAYSCAVE)\n",
    "# 截取图像的 高[500,1100) 宽[100:600)部分\n",
    "# TODO\n",
    "img = img[500:1100,100:600]\n",
    "# 获取图像的高度->h, 和宽度->w\n",
    "# TODO\n",
    "width, height = img.shape\n",
    "# 生成高h宽w的正太分布随机值数组，并把每一个值都放大20倍 -> 生成噪音数组 noise\n",
    "# TODO\n",
    "noise = np.random.randn(height,width)*20\n",
    "noise_c_img = c_img + noise\n",
    "# 把原图 + 噪音 生成混合噪音图\n",
    "# TODO\n",
    "plt.imshow(noise_c_img,cmap='gray')\n",
    "# 显示出来\n",
    "# TODO\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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